Risk Assessor Skill

SkillDev tools

Use this skill when the user wants to understand their long-term cardiovascular disease (CVD) or type-2 diabetes risk. Triggered by questions like "我心脏病风险高吗", "我会得糖尿病吗", "帮我评估健康风险", or after learning the user has multiple risk factors (smoking, hypertension, obesity, family history). Used by clinic_agent and advisor_agent. Pair with health_calculator to obtain BMI before calling this skill.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Risk Assessor Skill skill

What this skill tells your AI

The instructions your AI receives, as published by wananing/smart-health-assistant in backend/skills/risk_assessor/SKILL.md and read by ahel’s review.

Evaluates a user's 10-year disease risk using two validated clinical instruments:

ModelTargetBasis
Simplified FraminghamCardiovascular disease (CVD)12-factor weighted scoring
FINDRISCType-2 diabetesFinnish 8-item validated scale

Risk Levels

LevelCVD 10yrDiabetes 10yrColour
低风险<5%<1%🟢 GREEN
中等风险5–15%1–4%🟡 YELLOW
高风险15–30%~17%🟠 ORANGE
极高风险>30%>33%🔴 RED

Required Inputs

  • age, gender
  • is_smoker (bool)

Optional but Highly Recommended

  • systolic_bp — systolic blood pressure in mmHg
  • bmi — obtain via health_calculator skill if not known
  • has_diabetes, has_hypertension, bp_medication
  • family_history_cvd, family_history_diabetes
  • physical_activity, fruit_veg_daily
  • tc_mmol, hdl_mmol — for more precise CVD scoring

Agent Instructions

  • List key_modifiable_factors — these are the user's highest-leverage interventions
  • Present recommendations as an actionable checklist
  • For HIGH or 极高风险: strongly encourage specialist referral (心内科 / 内分泌科)
  • Always display disclaimer — risk models are population-level estimates

Signals

GitHub stars
21
Forks
4
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
risk-assessor
Source
github.com/wananing/smart-health-assistant